Gets the photos in which you are present!
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Updated
May 14, 2024 - Python
Gets the photos in which you are present!
Python Real Time Face Detection
Python-based music recommendation system utilizing emotion-based criteria, integrated with Selenium for web testing purposes
The aim of this project is how to use face as an authentication system for an attendance system
This is the docker project for face recognition
This is the Face Recognition Python project for Windows.
This repository showcases completion of three tasks from the CodSoft AI Internship. It includes implementations of 1. A rule-based responses chatbot, 2. A Tic-Tac-Toe AI game, and 3. A face detection and recognition system. This repository serves as a demonstration of completed internship tasks and welcomes collaboration and contributions.
An application that recognizes faces. If you put a picture of yourself in a folder, the application will find your picture, recognize it and recognize you. Projects written entirely in Python.
Identify faces from video and images using OpenCV and Deep Learning
A very Simple GUI APP for Face Detection and Recognition
Face Recognition Security
We have developed a real-time face recognition and attendance system using Python and various libraries such as OpenCV, Face_recognition, and NumPy
Face Recognizer is a Python-based application that can detect and recognize faces in images or via a webcam feed. It utilizes OpenCV for face detection and dlib for facial landmark extraction and recognition. This project provides a basic framework for face recognition, which can be further customized and extended for various applications.
Python package that implements Eigenfaces (face recognition) from scratch. It supports interaction with the webcam.
Face recognition using python sanic
Face Verification & Access Control App: UtiliFacial recognition for access permissions, records entries in a database. Technologies: Python, OpenCV, Face-recognition.
Face recognition pipeline based on Facenet and MTCNN including image preprocessing (denoise, dehazing,...) with image augmentation techniques
This project aims to build a face recognition system that can detect and recognize faces from images or video streams. The project is built using the powerful OpenCV library in Python.
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